Evidence map›Paper›PMID 42530862›Full record

ArticleApplied biochemistry and biotechnology2026

Optimization of Enzymatic Hydrolysis Process for Tobacco stem via Response Surface Methodology and its Application in Reconstituted Tobacco leaf.

Lichun Han, Shanshan Li, Anlai Luo, Yuqing Xie, Reheela Adeeb, Xiaoyan Liu, Ran Yang, Dafeng Yin, Guangsen Fan

Abstract read
PubMed Publisher
In one paragraph

Article in Applied biochemistry and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lichun HanKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing, 100048, China.
Shanshan LiKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing, 100048, China.
Anlai LuoChina National Research Institute of Food and Fermentation Industries Co., Ltd, Beijing, 100015, China.
Yuqing XieKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing, 100048, China.
Reheela AdeebKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing, 100048, China.
Xiaoyan LiuKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing, 100048, China.
Ran YangKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing, 100048, China.
Dafeng YinTechnology Center, China Tobacco Hunan Industrial Co., Ltd, No. 386 Laodong Middle Road, Hunan Province, Changsha, 410000, China. 723423641@qq.com.
Guangsen FanKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing, 100048, China. fanguangsen@btbu.edu.cn.ORCID http://orcid.org/0000-0001-5758-130X

Funding

2024 Annual Scientific and Technological Innovation Activity Projects of China Tobacco Hunan Industry Co., Ltd KY2024CG0026Beijing Natural Science Foundation 6222003
6 · The paper itself

Abstract

To enhance lignocellulose degradation in tobacco stem fibers and improve the quality of reconstituted tobacco, this study optimized xylanase-mediated hydrolysis. Xylanase OKBK was identified as the most effective enzyme, producing a reducing sugar yield of 2.29%, significantly higher than those obtained with other tested enzymes (p< 0.05). Single-factor experiments were performed to evaluate the effects of six key parameters, including enzyme concentration, hydrolysis time, pH, solid-to-liquid ratio, temperature, and shaking speed. Plackett-Burman design identified five significant factors (p< 0.05), and the steepest ascent method was subsequently used to determine the optimal region for response surface optimization. A Box-Behnken design was then applied to develop a quadratic regression model involving temperature, hydrolysis time, and enzyme concentration, which exhibited high predictive accuracy (R²= 0.9950). The optimized conditions predicted by the model were 50 ℃, 4.5 h, and 400 U/mL, resulting in a reducing sugar yield of 21.1%, closely matching the predicted value of 21.5%. Component analysis, FTIR, and SEM characterization demonstrated that xylanase effectively disrupted the lignocellulosic structure and facilitated component degradation. Furthermore, sensory evaluation of reconstituted tobacco sheets prepared from enzymatically treated stems showed improved sensory properties, particularly reduced woody odor and smoke harshness. Overall, the optimized xylanase hydrolysis process enhanced lignocellulose degradation and sensory quality, providing a promising strategy for the high-value utilization of tobacco stem waste.

Indexed as

Endo-1,4-beta XylanasesLigninNicotianaPlant LeavesPlant StemsHydrogen-Ion ConcentrationHydrolysisTemperatureEndo-1,4-beta XylanasesLigninlignocelluloseLignocelluloseReducing sugarResponse surface methodologyTobacco stemXylanase

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.